Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Emerging evidence suggests a bidirectional relationship between colorectal cancer (CRC) and type 2 d...
This study integrates multimodal metabolomic data from three platforms-LC-MS, GC-MS, and NMR-to syst...
Class imbalance is a common and critical challenge in text classification tasks, where the underrepr...
Reliable short-term electric load forecasting (STLF) is essential for enhancing grid stability, opti...
Plant diseases cause major crop losses worldwide, making early detection essential for sustainable f...
Early detection of lung cancer through low-dose CT lung cancer screening in a high-risk population h...
The European Society of Thoracic Imaging (ESTI) nodule management recommendation for lung cancer scr...
Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk pa...
The transformer model for sequence mining has brought a paradigmatic shift to many domains, includin...
INTRODUCTION: The implementation of computer-aided detection (CADe) systems has resulted in a growin...
This study investigates the feasibility of reducing manual image annotation costs in medical image d...
Ultra-high-performance fiber-reinforced concrete (UHPFRC) is an exceptional type of cementitious com...
Online surveys have become a key tool of modern health research, offering a fast, cost-effective, an...
This study aimed to optimize biogas and methane production from Up-flow anaerobic sludge blanket rea...
Musculoskeletal ultrasound is a key tool in rheumatology for diagnosing and managing inflammatory ar...
Deep-learning models for prostate cancer detection typically require large datasets, limiting clinic...
Articular cartilage is a porous, soft tissue present in the synovial joints that distributes the loa...
Measurement, monitoring, and prediction of soil organic carbon (SOC) are fundamental to supporting c...
PURPOSE: This study introduces NeuroLens, a multimodal system designed to enhance anatomical recogni...
Sodium-ion hybrid capacitors (SIHCs) offer a cutting-edge synergy between battery-level energy densi...
Modern computational chemistry is a powerful tool for chemists to probe into material properties and...